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Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Software Engineer, Backend to join our London team. This role is based in our London office with a hybrid setup, typically 3 days in the office. Get to know our Engineering team — what drives us, how we work, and what you can expect. About the Team The Core BI team builds and operates the services, integrations and automation that power business intelligence across DoorDash, Deliveroo and Wolt. Our platforms help analysts, Analytics Engineers, Data Scientists, Software Engineers and business teams discover trusted data and make informed decisions at scale. We combine software engineering, platform ownership, and a strong user focus to make BI tooling reliable, secure, scalable and self-service. The team supports the current BI ecosystem while helping shape a more integrated experience across the DoorDash group. About the Role As a Software Engineer on the Core BI team, you will build and operate the backend services, APIs and infrastructure our BI platforms run on. This is a hands-on software and platform engineering role: services and integrations, identity and access automation, observability, reliability and developer experience. BI is the domain you serve (primarily Looker and Sigma, and the systems around them), but the problems are backend and platform problems. You will own problems from discovery through design, implementation, deployment, and operational support. You will work closely with Data Engineers, Analytics Engineers, Data Scientists, Software Engineers, Product Managers and business teams to turn recurring user needs into durable, self-service capabilities. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you! You’re excited about this opportunity because you will… Design, build, test, deploy and operate the backend services, APIs and automation that the BI platforms across DoorDash, Deliveroo and Wolt depend on Automate the platform lifecycle end to end (provisioning, metadata, permissions, migrations, archival and validation) so administration stops being manual work Build the integrations between BI platforms and the wider ecosystem: warehouses, identity providers, orchestration, CI/CD and internal developer tooling Improve the availability, observability, performance, scalability and security of the systems you own, and carry them in production Use AI tooling as part of how you engineer, and where it fits, build LLM-backed capabilities held to the same reliability and governance bar as anything else we ship Raise the engineering bar on the team, from service design and code review to testing, CI/CD and documentation, and improve the developer experience for everyone building on the platform We’re excited about you because… 3+ years of professional software engineering experience building and operating production backend, platform or infrastructure systems Readable, maintainable, well-tested code in Python, plus comfort with SQL and a working understanding of data modelling and warehousing concepts Experience building and owning APIs, integrations or automation in production, with sound judgement on service boundaries, authentication, data contracts and failure modes Hands-on with CI/CD, containers and Kubernetes, observability, debugging and incident response, and you expect to operate what you build Hands-on experience using AI tools (LLMs, agentic workflows, AI-assisted development) as part of how you engineer, and judgement about where they help and where they do not End-to-end ownership of ambiguous problems, clear communication with technical and non-technical teams, and comfort self-organising in a fast-paced, distributed environment Nice to Have Experience owning or integrating with BI platforms such as Looker, Sigma or comparable tools, and familiarity with semantic layers such as LookML or dbt Experience automating identity and access through Okta, SCIM or role-based access controls, or building multi-tenant platforms across brands and regions Experience shipping LLM-backed features to real users (retrieval, grounding and evaluation), or with MCP, agent frameworks or tool-calling in production Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Задачи: — разбираться с данными из разных источников: проверять их качество, искать причины расхождений, создавать агрегаты данных и помогать подключать новые источники; — развивать и поддерживать аналитическую инфраструктуру: работать с dbt-моделями, настраивать тесты и алерты, следить за корректностью ключевых данных и метрик.

Location: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We're looking for a Senior/Staff Data Scientist to join our growing Data team and serve as a strategic analytics partner across Render. As we scale, we're tackling increasingly complex questions across our product, customers, and business, from how developers discover and adopt Render, to what drives engagement and retention, to how we prioritize investments and identify new opportunities for growth. You'll partner with leaders and teams across Product, Growth, Go-to-Market, Finance, and other functions, focusing on some combination of data analytics, analytics engineering, machine learning, and experimentation based on your strengths, interests, and Render's highest-priority needs. You'll turn ambiguous questions into rigorous analysis, define how we measure success, and translate complex data into decisions and action. As a Senior/Staff-level individual contributor, you'll also help set the standard for analytics at Render, shaping our measurement frameworks, analytical practices, and how teams across the company use data to make better decisions. WHAT YOU’LL DO - Serve as a strategic analytics partner. Work closely with leaders and cross-functional partners across Product, Engineering, Growth, Go-to-Market, Finance, and other teams to identify high-impact questions, frame decisions, and determine how success should be measured. - Define meaningful metrics and measurement frameworks. Develop the KPIs and frameworks teams use to understand performance across areas such as acquisition, activation, adoption, engagement, retention, conversion, expansion, and customer outcomes. - Turn data into strategy. Surface patterns across our users, customers, products, and business. Identify opportunities, diagnose friction, and help teams determine where to invest and what to prioritize. - Shape our approach to experimentation and evaluation. Design and analyze experiments where appropriate, develop guardrail metrics and other methods for evaluating initiatives, and help teams choose the right analytical approach for the decision at hand. - Build measurement into how we work. Partner with teams to define instrumentation and measurement plans early, ensuring new products, programs, and initiatives can be evaluated reliably after launch. - Build trusted analytical foundations. Build and maintain dbt models, semantic and context layers in partnership with Analytics Engineering, transforming behavioral and business data into reliable datasets that support decision-making across Render. - Raise the bar for analytics. Establish analytical best practices, improve how teams use data in decision-making, and mentor scientists and cross-functional partners on measurement, experimentation, and data literacy. - Help shape the future of analytics at Render. Explore how AI-assisted tools can make analytics faster and more accessible while maintaining a high bar for accuracy, context, and analytical judgment. WHAT WE’RE LOOKING FOR - 7+ years of analytics experience, with a track record of shaping strategy and influencing decisions across complex or ambiguous problem spaces. - Strong business and product judgment. You can take an ambiguous question, identify what really needs to be understood, and determine the right analytical approach to inform a decision. - Experience defining and using metrics across some combination of Product, Growth, Go-to-Market, Finance, or other business domains, for example acquisition, activation, adoption, engagement, retention, conversion, expansion, or revenue. - Strong SQL skills. Writing complex, efficient SQL and independently exploring large datasets is a core part of how you work. - Experience using experimentation, statistical analysis, or other rigorous evaluation methods to understand impact, along with judgment about when each approach is appropriate. - Experience with modern analytics tooling such as Metabase, Mixpanel, dbt, BigQuery, Segment, and Git. - A track record of influencing cross-functional teams and senior leaders without direct authority. You're comfortable challenging assumptions, creating clarity from ambiguity, and driving alignment around what the data says. - Excellent communication skills. You can turn complex analysis into a clear narrative, explain technical concepts to non-technical audiences, and build the relationships necessary to drive action. - Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate analysis, data modeling, instrumentation, or visualization. NICE-TO-HAVES - Expertise in statistical methods beyond traditional A/B testing, such as causal inference, cohort and survival analysis, or time-series analysis. - Experience with developer-focused, product-led, sales-led, or usage-based businesses. - Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products. - Experience analyzing multi-product or multi-segment businesses and understanding behavior across interconnected customer journeys. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Задачи: — Участие в построении автоматизированной системы контроля качества данных (DQ): развитие проверок, покрытие ключевых потоков, автоматизация. — Обработка запросов внутренних заказчиков: выгрузки, сверки, проверка данных. — Контроль корректности отчётности: следить за загрузками, разбирать расхождения, проверять цифры до публикации. — Поддержка и развитие отчётов и дашбордов в Power BI. — Работа с данными: подготовка, трансформация, визуализация, контроль качества. — Документирование процессов, поддержка актуальности описаний. Требования: — SQL на уровне оконных функций, умение разобраться в незнакомой витрине. — Уверенное владение Power BI. — Опыт работы с реальными данными, а не только учебными примерами. — Честность, открытость, ответственность. — Умение самостоятельно разбираться в задачах и доводить до результата. — Готовность работать в офисе полный день. — Будет плюсом: опыт построения проверок качества данных (DQ, Great Expectations, dbt tests), Python для выгрузок и работы с API, понимание Airflow и dbt, опыт в ритейле или e-commerce. Условия: — График работы: 5/2 с 9:00 до 18:00. Офисный формат работы. После испытательного срока готовы предоставить гибридный формат. — Скидка на ДМС. — Ювелирные подарки сотрудникам в честь возрастания стажа работы в команде. — Скидки на покупку ювелирных изделий. — Спортивные мероприятия: баскетбол, футбол, настольный теннис, беговые марафоны, плавание и танцы. — Стабильную выплату заработной платы два раза в месяц без задержек. — Подарки в честь значимых событий в жизни сотрудников: День Рождения, подарки детям на Новый год. — Оборудованная кухня внутри офиса с кофемашиной. — Просторный и комфортный офис в шаговой доступности от метро Марьина Роща.

Location: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We're looking for a Senior/Staff Analytics Engineer to join our growing Data team and lead the evolution of our Analytics Engineering platform. As Render scales, you'll build the foundations that turn raw data into trusted, reusable models for analytics, executive reporting, and AI-assisted decision-making. In this role, you'll partner closely with analysts, scientists, data engineers, and teams across Product, Engineering, Growth, Go-to-Market, Finance, and other business functions. Analysts and scientists will bring domain expertise and own business logic within their areas; you'll own the technical architecture, modeling standards, and engineering practices that help that work scale reliably. As a Senior/Staff-level individual contributor, you'll set the technical direction for Analytics Engineering at Render—strengthening data quality, improving the developer experience, and building semantic and context layers that make data easier to discover and use. You'll help teams move faster with consistent metrics and maintainable models they can trust. WHAT YOU'LL DO - Own our Analytics Engineering architecture. Guide the long-term evolution of Render’s Analytics Engineering platform, strengthening foundational models so our data remains trusted, scalable, and ready for AI-assisted analytics. - Build trusted, reusable data models. Design, build, and maintain governed dbt models that serve as authoritative sources for business-critical metrics across Product, Engineering, Growth, Go-to-Market, Finance, and other teams. - Establish engineering standards. Define and improve practices for data modeling, testing, documentation, version control, CI/CD, and code review. Review high-impact dbt changes and reduce technical debt across the analytics codebase. - Enable self-service and AI-assisted analytics. Design and maintain semantic and context layers that make metrics consistent, data discoverable, and analysis reliable for both people and AI tools. - Partner closely with analysts and scientists. Help analysts and scientists translate domain-specific business logic into scalable, maintainable warehouse models, moving shared logic out of individual reports and dashboards and into governed datasets. - Improve reliability and efficiency. Partner with Data Engineering to strengthen source data quality, warehouse architecture, and BigQuery performance and cost efficiency. - Raise the bar for Analytics Engineering. Mentor analysts, scientists, and analytics engineers on dbt development, dimensional modeling, and engineering best practices, and help teams adopt shared standards. WHAT WE'RE LOOKING FOR - 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field, including at least 3 years of hands-on experience running dbt in production. - Expert-level SQL skills and a track record of designing and owning scalable Kimball dimensional models. - Deep expertise in modern Analytics Engineering practices, including Git, testing, CI/CD, documentation, data contracts, lineage, and governance. - Experience building semantic and context layers, trusted metrics, and warehouse architectures that support self-service analytics for humans and AI agents across multiple business domains. - Strong understanding of modern cloud data warehouse architecture, performance optimization, and cost efficiency, with experience in platforms such as BigQuery, Databricks, or Snowflake. - A track record of establishing technical standards, influencing engineering practices without formal authority, and improving reliability while reducing technical debt. - Proven ability to partner closely with analysts, scientists, and business stakeholders to translate requirements into scalable, maintainable data models. - Excellent communication skills. You can explain complex technical concepts and tradeoffs to technical and non-technical audiences and build alignment across teams. - Experience building data models that connect product usage, acquisition, CRM, and financial data across the customer lifecycle. - Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate data modeling, testing, documentation, or exploration. NICE-TO-HAVES - Hands-on experience with Render’s analytics stack, including BigQuery, Segment, dbt, and analytics tools such as Metabase or Mixpanel. - Experience with developer-focused, product-led, sales-led, or usage-based businesses. - Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Remote, Washington, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the team dbt Labs' West + Central enterprise sales org drives new logo and expansion revenue across the region's largest data and analytics organizations. This RD role leads the PacNW and Bay Area territory, a mix of established enterprise accounts and high growth prospects, and reports directly into the Regional Vice President of Sales. What you'll do Manage and coach a team of enterprise account executives selling into PacNW and Bay Area accounts, with a focus on pipeline generation, forecast rigor, and deal progression Own territory planning and account segmentation across new logo and expansion motions Partner cross-functionally with solutions architecture, customer success, and professional services to drive full-funnel execution Represent the territory in weekly forecast and pipeline reviews with the AVP Recruit, hire, and ramp new account executives as the team scales Build and reinforce a consistent sales methodology, including discovery, MEDDIC-style qualification, and competitive positioning Get directly involved in strategic deals, escalations, and executive relationships where needed What we're looking for 3+ years of experience managing enterprise or strategic account executives, ideally in data, analytics, or infrastructure software A track record of building and scaling teams that consistently hit or exceed quota Strong forecasting discipline and comfort operating in a fast-moving, matrixed post-merger environment Experience selling into complex, technical buying committees (data platform leaders, analytics engineering teams, CDOs) Familiarity with the dbt platform and modern data stack is a strong plus A coaching-first management style, with the ability to also step into deals as a player when the situation calls for it Based in or willing to be based in the Bay Area or Pacific Northwest, with regional travel expected The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $177,790 — $222,237.50 USD OTE (On Target Earning) $355,580 — $444,475 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Vancouver, BC Analytical Engineering Manager The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call. As an Analytical Engineering Manager, you lead a team of Analytical Engineers who own the data foundations for the business: the Gold layer, canonical metrics, certified dashboards, and semantic layer that make Asana's most important numbers trustworthy, and that make AI-powered self-serve through Claude and Databricks Genie actually work. You sit at the intersection of Data Engineering, Analytics, and Data Science, and you are accountable for whether business stakeholders trust the data in your team's domains and can answer their own questions without routing through your team. This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do and t he teams with which you partner . If you're interviewing for this role, your recruiter will shar e more about the in-office requirements . What you’ll achieve Lead, grow, and develop a team of Analytical Engineers: Own hiring, coaching, performance, and career growth, and set a high bar for data-model quality and stakeholder trust. Own the Gold layer and semantic-layer strategy across your team's domains (e.g. PLG, marketing, revenue, NPI/AWM): Your team is accountable for the curated data models, canonical metrics, dashboards, and Genie spaces the business depends on. Treat every recurring insight as a product with an owner, a cadence, and an SLA: Build a catalog of trusted, versioned data products instead of one-off rebuilds. Drive self-serve enablement: Prioritize the Gold tables, governed metric definitions, and metadata that make Claude + Databricks Genie trustworthy, so stakeholders can answer routine questions without coming to your team. Partner with Data Science, Data Engineering, Data Infrastructure, and business teams to author data contracts and SLAs at the Silver→Gold boundary, and decide what to build, what to automate, and what to sunset. Manage prioritization, run-rate, and cost as first-class metrics — making explicit build-vs-buy and stop-doing trade-offs rather than letting low-value work quietly erode the team's capacity. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . 3+ years managing or leading a team of analytics engineers, data engineers, or analysts, with a clear trajectory into people management. A strong analytical-engineering technical foundation that lets you set the bar: advanced SQL, data modeling and semantic layer design, dbt or an equivalent transformation framework, and modern warehouse/lakehouse platforms (Databricks preferred). A track record of shipping trusted data products — governed Gold tables, canonical metrics, and semantic layers — that meaningfully reduced ad-hoc work and earned stakeholder trust. Strong stakeholder management with senior cross-functional partners and leadership: translating ambiguous business needs into roadmaps, driving alignment on metric definitions, and explaining technical tradeoffs to non-technical audiences. Sound judgment on prioritization, sunsetting low-value work, and managing data cost and run-rate. Curiosity about AI-native analytics — NL2SQL, semantic layers for self-serve, and using tools like Claude and Genie to multiply your team's reach rather than replace rigor. Exposure to Unity Catalog, Looker/LookML, or reverse-ETL/ac tivation (Salesforce, Marketo, Gainsight) is a plus. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as t his is critical to helping us achieve our mission . If you're interested in this role and don't meet every listed requirement, we still encourage you to apply . What we’ll offer Our comprehensive compens ation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission . We believe that compensation sh ould be reflective of the value you create relative to the market value of your role . To ensure pay is fair and not impacted by biases, we're committed to l ooking at market value which is why we check ourselves and con duct a yearly pay equity audit . For this role, the estimated b ase salary range is between 157,000 - 178,000 CAD annually. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview pr ocess . The listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . We strive to provide e quitable and competitive benefits packages that su pport our employees worldwide and include : Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a talented Senior Software Engineer with a passion for building enterprise grade software to join the team. You will be focusing on developing world-class enterprise capabilities and features in support of our largest and most sophisticated customers. The work we do is both highly visible and critically important to the long term growth and success of Fivetran. You will have an impact across the entire product as we develop our next generation of enterprise, data governance, and solutions engineering offerings. This team is tasked with evolving a high performance extract-load-transform data integration system that enables our connector teams to ship the Fivetran ELT product using powerful abstractions. The role will challenge you to solve problems in the domains of performance engineering, data security, and cluster orchestration. You don’t necessarily need to be a subject matter expert before you join us (you will be one before you leave!). We're looking for people who can understand the key values that make our product great and implement those values in the many small decisions you make every day. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team Technologies You’ll Use Java SQL Bazel, BuildKite, Docker, Kubernetes, Github AWS, GCP, Azure Postgres database What You’ll Do Design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud Develop, maintain, and test code Conduct design and code reviews Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability. Understand and fix challenges related to performance and scalability. Participate periodically in on-call rotation Participate in the hiring process Mentor Junior developers Make Fivetran the most reliable and secure component of our customers’ data infrastructure Skills We’re Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems. Software engineering foundation - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices. Experience working with distributed systems and cloud security concepts Demonstrated ability to write well-structured and performant code Ability to lead software and infrastructure design to satisfy project requirements Can identify design flaws in existing systems and come up with improvements Experience in code reviews, design, troubleshooting and testing Experience programming in an object oriented / systems language such as Java, C++, C# etc Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s. Experience interacting with continuous integration tools like Buidkite. Knowledge of observability tools like New Relic/Grafana is a plus Knowledge of Data Engineering is a plus Optional (Bonus Skills)​ Experience in data processing (ETL, ELT) and/or cloud-based platforms. #LI-HYBRID #LI-PE1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Задачи: — Проектировать и развивать модель данных DWH по методологии Data Vault — Собирать и формализовать требования к источникам, витринам и загрузкам — Проектировать потоки данных от источников (PostgreSQL и ClickHouse) до целевых слоёв хранилища — Писать и оптимизировать SQL-запросы под Greenplum — Описывать логику трансформаций и участвовать в постановке задач разработчикам — Развивать процессы контроля качества данных (DQ) Требования: — Уверенный SQL и опыт работы с Greenplum — Знания основ и моделей хранилищ данных — Практический опыт проектирования по Data Vault — Опыт работы с реляционными источниками (PostgreSQL) и аналитическими СУБД (ClickHouse) Будет большим плюсом: — Опыт работы с dbt — Airflow — Инструменты контроля качества данных (Soda Core или аналоги) Условия: — Официальное трудоустройство в штат компании по ТК РФ — Гибкий формат работы: возможность удалённо работать или в офисе в Москве (в одной минуте ходьбы от м. Технопарк) — Расширенная программа ДМС со стоматологией с первого дня работы — Доплата по больничному листу до оклада до 5 рабочих дней в год — Линия психологической поддержки — Врач в офисе и массажные кресла (для сотрудников в Москве) — Бесплатные посещения фитнес-клуба А-sport на ст. м. Технопарк — Корпоративная программа профессионального обучения совместно с Альфа Групп — Возможность участия в профильных конференциях — Онлайн-библиотека — Карьерное развитие и программа наставничества — Кафетерий льгот через 6 месяцев (спорт, организация рабочего места, здоровье, дети, питомцы, благотворительность и др.) — Корпоративные мероприятия и тимбилдинги в онлайн и офлайн формате — Подарки к праздникам и материальная помощь по особым случаям — 3 дня 100% оплачиваемых day off в году

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Staff Software Engineer to join our organization. Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We are an AWS + Kubernetes shop, and we are constantly introducing new technologies as our system load doubles every year. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in delivering their best work while fostering a strong team culture. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Lead team-level technical strategy and execution on multi-quarter time horizons Use AI to build, optimize, and maintain software systems Uplevel engineers across the organization by raising the technical bar Collaborate across disciplines to understand our domain and iterate on projects Protect our users’ privacy and security through best practices The ideal candidate has: 6+ years of software engineering experience Experience leading teams of engineers with demonstrated impact on technical strategy A generalist software engineering mindset ready to learn new languages, frameworks, and techniques required for a fast paced startup environment Demonstrated ability to build complex systems using AI coding agents (we use Claude Code) Able to learn quickly and mentor others Familiarity with data security and HIPAA compliance A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Claude Code, Kubernetes, AWS, Airflow, DBT, Python, TypeScript, React, Go This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $312,000 - $356,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Paris, France; Marseille, France; Bordeaux, France; Biarritz, France; Brussels, Belgium HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE DATA FOUNDATIONS TEAM ⭐ At Alan, every decision we make about our members' care, contracts and claims is a data decision. The Data Foundations team builds the platform that makes those decisions possible in a safe way. - Being part of the Data Foundations team means you’ll build, maintain, and improve the Data Platform used by everyone at Alan. - We enable Alan’s data-driven nature and help our colleagues make the most of their data. - Partner closely with people across Alan (technical and non-technical) to understand their needs and build data solutions they can trust and use effectively. - We own and manage all data-related tools that power Alan. - AI is changing the way companies work with data: agents are becoming first-class users of our data warehouse. It opens a world of new usage and exciting features, as well as concerns around security, data quality and governance. We are building the foundations that allow Alan to make the most of this exciting new paradigm. - Alan is expanding quickly: we went from 4 to 6 countries this year and we won’t stop there. Our objective is to onboard new countries in weeks, not months. Having strong data foundations is a cornerstone of that expansion, allowing our teams to make sense of a patchwork of insurance systems, regulations and reporting rules. - Examples of our missions: - improve the developer experience when building and maintaining data pipelines, - enable reliable and secure access to our data warehouse for Alaners and AI agents, - strengthen security and governance around our data assets, - define and implement standard data practices across Alan, - maintain and evolve our core data infrastructure to accommodate Alan's international expansion and growing product breadth… - Our core tools include Python, Airflow, Snowflake, AWS/GCP, Metabase, Terraform, dbt, and others. - Who you'll work with: Data Foundations is a small, high-leverage team inside the Tech Foundations area, whose mission is to enable product crews through world-class infrastructure, developer experience, operational excellence, and built-in security. You'd be joining as one of its core engineers, working daily with the whole Data community at Alan. 🎯 EXPECTED SKILLS AND ABILITIES You would thrive at Alan if most of this sounds like you: - Passionate about owning ambitious problems and developing simple solutions for them. - 4+ years of experience demonstrating impact in Data positions. We welcome candidates from early-career to highly experienced profiles. You may already have strong expertise in Data Engineering, or be an experienced data or software engineer looking to deepen your specialization in this area. - Experience building and operating production data infrastructure: orchestration (Airflow or similar), a cloud data warehouse, infrastructure as code. - Experience designing systems, tools or libraries used by other engineers, scientists or analysts. - Proficient in Python and SQL. Setting a high standard of rigor and precision for yourself, interested in your craft. - Curious about AI and eager to use it thoughtfully to increase your impact. - Great listening and communication skills. - Humble, kind, collaborative, and still willing to grow (no matter your seniority!). - Fluent and clear in English, both oral and written (no need to speak French!). For this role, we are looking to hire within the C1-E level range https://alan.com/en/careers/a/salary-equity. ⚙️ IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learning or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?pvs=21. #LI-DNP

Requirements 2+ years of experience in Python/PyTest (for test scripting) At least 1+ years working on data-centric or analytics projects Experience with dbt, Snowflake Proficiency in SQL for querying and validating large datasets Exposure to Python or similar languages for test automation is a plus Experience validating ETL/ELT workflows or dashboards Exceptional attention to detail with outstanding analytical and problem-solving capabilities Ease in a cooperative, Agile setting Experience with JIRA and Confluence Experience with Git/GitHub English level B2+ Nice to have Experience with Power BI (read/test level), Azure Dev-Ops Airflow (read/debug level) Familiarity with test case management tools We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Tatyana hh@itransition.com

Location: New York, New York, United States About the Role iCapital is looking to hire a Data Engineering Senior Vice President, to lead the evolution of the enterprise data platform that powers AI, automation, analytics, and data-driven decision making across the firm while positioning proprietary data as a strategic business asset. This role is responsible for defining and executing the architectural vision, roadmap, and operating model for a modern, AI-ready data ecosystem built on a strong foundation of cloud technologies and established engineering capabilities. The position will provide leadership across platform architecture, engineering standards, and cross-functional alignment while overseeing the development of scalable data products, semantic layer capabilities, and future AI enablement initiatives. Partnering closely with an engaged executive steering committee, this individual will play a critical role in shaping how data supports the firm's long-term growth and innovation strategy. Responsibilities Define and own iCapital's enterprise data architecture, including the Snowflake platform, semantic layer, reusable data products, and AI-ready ecosystem. Establish standards for data engineering, governance, security, observability, quality, and documentation. Own platform reliability, SLAs, DataOps practices, and incident management. Lead architectural strategy, tooling decisions, and platform investment recommendations. Develop and execute the multi-year Data Engineering roadmap aligned to business and AI priorities. Translate enterprise data strategy into prioritized engineering initiatives and platform capabilities. Build business cases for platform investments and proactively address technical debt and future scalability needs. Partner with business and technology leaders to deliver data products that support enterprise objectives. Communicate platform progress, risks, and investment decisions to executive stakeholders. Build and lead a high-performing Data Engineering organization and culture. Qualifications 12+ years of experience in data engineering, including 5+ years leading large-scale engineering organizations across multiple functions Proven track record designing, building, and operating enterprise-scale cloud data platforms (Snowflake, Databricks, or equivalent), including architecture, security, governance, and cost optimization Deep expertise establishing data engineering best practices across pipeline design, data quality, observability, data contracts, documentation, and operational support Demonstrated success developing multi-year platform strategies, securing investment, prioritizing initiatives, and delivering measurable business outcomes Experience partnering with and presenting to executive stakeholders within regulated industries, translating complex technical concepts into business impact Hands-on experience with analytics engineering, semantic layer development, and modern data transformation frameworks such as dbt Financial services experience within asset management, wealth management, fintech, banking, or insurance, including knowledge of regulated data environments and governance requirements Deep expertise in Snowflake architecture, performance optimization, security, and data sharing at enterprise scale Knowledge of alternative investments, wealth management, fund administration, or related financial services domains Experience building AI- and ML-enabled data platforms, including semantic layers, feature stores, model-serving infrastructure, or LLM-integrated architectures Experience with Informatica or comparable enterprise data catalog, metadata management, and MDM platforms Proven success scaling data engineering organizations through periods of rapid growth, including organizational design, hiring, and leadership development Benefits The base salary range for this role is $200,000 to $250,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Los Angeles, USA At Riot, Data Engineers build the trusted data foundations that help teams make better decisions and create better experiences for players. As a Principal Data Engineer on Teamfight Tactics CoreTech , you will own the technical direction and long-term health of TFT’s data ecosystem, from telemetry and schemas to govern data products, metrics, pipelines, and production operations. You will partner closely with Game Engineering, Design, Product, Insights, and Data Science from feature conception through launch and live operations. You will translate player and product needs into scalable, reliable, and cost-efficient data solutions, while establishing the standards and operating practices that allow TFT teams to move quickly without compromising data trust. This is a Principal-level individual contributor role. You will lead ambiguous, multi-team initiatives; make architecture and prioritization tradeoffs; mentor engineers and data practitioners; and influence data-engineering standards across TFT and Riot. You will remain hands-on where it creates leverage, while raising the effectiveness of the broader team through technical direction, coaching, and durable systems. Responsibilities: Own the technical strategy, architecture, and roadmap for TFT’s data ecosystem in partnership with TFT and Riot Data Engineering leadership. Design, build, and evolve scalable batch and near-real-time data systems supporting telemetry, player behavior, game operations, experimentation, insights, and player-facing features. Establish and maintain data contracts across Data Engineering, Insights, Game Engineering, and Product, including event schemas, metric definitions, and accuracy expectations. Partner with game teams early in feature development to design instrumentation, validate payloads, and make telemetry a tested part of feature readiness and launch criteria. Own the reliability and operational health of critical TFT data products, including freshness, availability, accuracy, observability, alerting, runbooks, incident response, and root-cause analysis. Lead data modeling and warehouse architecture across TFT, creating durable, well-documented sources of truth that serve multiple teams and use cases. Establish standards for data governance, lineage, documentation, access, retention, lifecycle management, and compliance with applicable privacy requirements. Reduce ambiguity by clarifying requirements, identifying risks, evaluating alternatives, and communicating tradeoffs across delivery speed, reliability, cost, and complexity. Improve engineering velocity through automation, self-service tooling, reusable patterns, and pragmatic development and review processes. Drive cost optimization through thoughtful architecture, workload optimization, storage and compute lifecycle practices, and proactive capacity planning. Contribute to recruiting, technical interviewing, interview-kit development, and the growth of Riot’s Data Engineering discipline. Help define and socialize TFT and Riot-wide craft standards for data architecture, reliability, governance, documentation, and operational excellence. Required Qualifications: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. 8+ years of professional experience in data engineering, software engineering, analytics engineering, or a related discipline, with demonstrated principal-level scope. Experience designing, building, and operating production data systems at significant scale. Hands-on expertise in big-data technologies, including Python, GoLang, Spark, Scala, SQL, and tools like Airflow and DBT. Proficiency in cloud infrastructure (AWS or GCP) and Databricks. Demonstrated expertise in data modeling, schema design, data contracts, lineage, governance, and the development of durable sources of truth. Experience establishing data-quality checks, observability, SLIs/SLOs, incident-management practices, and operational documentation. Demonstrated ability to set technical direction, lead complex initiatives across multiple teams, and make sound architecture and prioritization tradeoffs. Strong cross-functional communication skills and experience partnering with engineering, product, analytics, insights, and other technical stakeholders. Experience mentoring and developing engineers, including senior-level practitioners. Desired Qualifications: Experience building and operating data systems for a live-service game or another high-scale consumer product. Experience partnering with game engineering on instrumentation, telemetry, schemas, and launch readiness. Experience using data and analytics to influence gameplay, product, feature, or live-operations decisions from development through launch. Familiarity with Teamfight Tactics or strong curiosity about games, player behavior, and live-service operations. Genuine player empathy, product sense, and pragmatic judgment in balancing player value, engineering quality, delivery, and operational risk. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: United States; Denver; Chicago; Seattle; Austin; Phoenix; New York; Los Angeles; Boston; San Francisco Workplace: Remote Recognized on the 2025 Forbes Cloud 100 list https://www.forbes.com/companies/clickhouse/?list=cloud100, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and $250M ARR https://clickhouse.com/blog/clickhouse-tops-250m-arr-and-4000-customers, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round https://clickhouse.com/blog/clickhouse-raises-400-million-series-d-acquires-langfuse-launches-postgres. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We're on a mission to transform how companies use data. Come be a part of our journey! We're hiring a Product Manager to own partner integrations at ClickHouse. This role owns how ClickHouse shows up inside the platforms our customers already use: embedded, native experiences across the hyperscalers and developer platforms, and deeper technical integrations with strategic partners like dbt, Fivetran, Hex, and Sigma. There is a growing surface of partner work already in motion, and this role shapes where we invest in co-innovation opportunities. This is one of the most cross-functional roles at ClickHouse. You'll work across multiple engineering teams, our partnerships and solutions teams, and the partners themselves to deliver meaningful co-innovation and integrations with complementary technologies. You'll own the technical side of our House Mates partner program and be the person who navigates the multi-org reality of getting an integration certified, listed, and live. This is a hands-on role: you'll write the specs, run the partner calls, drive certification processes, and coordinate across teams to get things over the line. YOU WILL - Own the product strategy, roadmap, and execution for ClickHouse's Cloud integrations with strategic partners - Seek out complementary innovation opportunities with partners. Define what a "better together" integration looks like with each strategic partner, and drive it from joint roadmap through launch. - Navigate the trade-offs of embedded integrations: billing and metering, identity and auth, security and data residency, and coordination across ClickHouse and partner teams. - Project-manage complex, multi-org launches: marketplace listings, certification processes, partner co-marketing, and GA timelines across multiple organizations. - Own the technical standards and certification criteria for integrations submitted through the House Mates partner program. - Measure and communicate co-innovation business impact, adoption and product strategy to executive leadership. - Represent ClickHouse externally at partner events and in joint content. YOU BRING - Experience shipping integrations into third-party platforms before: hyperscaler marketplaces, embedded or native integrations, ISV partnerships, or OEM/white-label work. - An understanding of the trade-offs that make or break a partner integration, billing, auth, security, cross-team dependencies, and have made those decisions in the past. - A strong project management lens and are comfortable owning a launch that depends on five teams across two companies. - Patience and resilience with partners who are unresponsive or have their own competing priorities, and you find creative ways to keep things moving anyway. - Technical ability to understand an integration end to end, from provisioning and auth to billing and data flow, and to hold a credible conversation with engineers about APIs, architecture, and technical trade-offs. - Energy and excitement for external-facing work: partner calls, customer conversations, and representing the product publicly. - Hands-on and high ownership ability. You write the specs, run the partner calls, and stay close to the details. - Comfort in ambiguity and fast-moving environments. PREFERRED QUALIFICATIONS - Hands-on experience building partner integrations with hyperscalers and modern technology companies. - Experience running or supporting a technology partner program. - Background at a database or data infrastructure company; familiarity with ClickHouse or peers like Snowflake, BigQuery, or Databricks. - Experience working in remote, multi-timezone environments. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Milan, Italy; Biassono, Italy Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As our Data Engineer I, you will build and fine-tune the robust cloud data pipelines that power our analytics, data science, and product teams. You’ll tackle real-world architecture challenges, collaborate with world-class engineers, and directly shape how intelligent learning experiences reach millions of users worldwide. We are seeking engineers who bring deep analytical rigor to data modeling and relentless dedication to data quality.   🛠️ THE DAY-TO-DAY - Engineer the Flow: Implement high-performance ELT/ETL transformations using tools like dbt based on innovative specs from senior engineers and architects. - Orchestrate Data Jobs: Build, deploy, and maintain seamless data ingestion and transformation jobs powered by Airflow and Cloud Composer. - Guard Data Quality: Write and execute vital data tests—including row counts, null checks, and reference validations—to keep our datasets clean and trusted. - Monitor & Resolve: Proactively investigate automated alerts, ensuring peak system performance and escalating deeper architectural changes when needed. - Shape Lakehouse Architecture: Maintain pristine schemas and naming conventions across Snowflake, BigQuery, or Databricks while implementing table and view enhancements. - Document & Empower: Create clear documentation for pipelines, schemas, and caveats so the entire engineering team can safely build on your foundation. - Partner & Collaborate: Work closely alongside Analytics and Data Science teams to deeply understand their query needs and deliver optimized data structures. ⚡ YOUR SUPERPOWERS - Solid Academic & Technical Foundation: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience). - Early Career Momentum: 2-3 years of hands-on experience in data engineering, BI engineering, or equivalent project-driven environments. - SQL Mastery: Exceptional ability to write clean SQL (joins, filters, aggregations) and query across cloud data platforms like Snowflake, BigQuery, or Databricks. - ETL/ELT Aptitude: Strong foundational understanding of data transformation concepts and comfort navigating tools like dbt and Airflow under guided supervision. - Code & Version Control Literacy: Familiarity with Python (or similar languages) and Git-based collaborative workflows to ship clean code efficiently. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.   OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.   OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized. - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As our Data Engineer I, you will build and fine-tune the robust cloud data pipelines that power our analytics, data science, and product teams. You’ll tackle real-world architecture challenges, collaborate with world-class engineers, and directly shape how intelligent learning experiences reach millions of users worldwide. We are seeking engineers who bring deep analytical rigor to data modeling and relentless dedication to data quality. 🛠️ THE DAY-TO-DAY - Engineer the Flow: Implement high-performance ELT/ETL transformations using tools like dbt based on innovative specs from senior engineers and architects. - Orchestrate Data Jobs: Build, deploy, and maintain seamless data ingestion and transformation jobs powered by Airflow and Cloud Composer. - Guard Data Quality: Write and execute vital data tests—including row counts, null checks, and reference validations—to keep our datasets clean and trusted. - Monitor & Resolve: Proactively investigate automated alerts, ensuring peak system performance and escalating deeper architectural changes when needed. - Shape Lakehouse Architecture: Maintain pristine schemas and naming conventions across Snowflake, BigQuery, or Databricks while implementing table and view enhancements. - Document & Empower: Create clear documentation for pipelines, schemas, and caveats so the entire engineering team can safely build on your foundation. - Partner & Collaborate: Work closely alongside Analytics and Data Science teams to deeply understand their query needs and deliver optimized data structures. ⚡ YOUR SUPERPOWERS - Solid Academic & Technical Foundation: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience). - Early Career Momentum: 2-3 years of hands-on experience in data engineering, BI engineering, or equivalent project-driven environments. - SQL Mastery: Exceptional ability to write clean SQL (joins, filters, aggregations) and query across cloud data platforms like Snowflake, BigQuery, or Databricks. - ETL/ELT Aptitude: Strong foundational understanding of data transformation concepts and comfort navigating tools like dbt and Airflow under guided supervision. - Code & Version Control Literacy: Familiarity with Python (or similar languages) and Git-based collaborative workflows to ship clean code efficiently. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Группа компаний «ДОМ.РФ» реализует национальные проекты в области жилищного строительства и ипотеки. Более 25 лет занимается развитием жилищной сферы в России. В компании работает более 9 тысяч человек, из которых более 1,5 тысяч — команда цифровой вертикали. ИТ-команда проводит цифровую трансформацию строительной отрасли и создает инновационные ИТ-продукты для людей, бизнеса и государства. Описание: Ищем разработчика-аналитика DWH в направление Рисков. Позиция предполагает примерно 60-70% разработки, остальная часть — аналитика и взаимодействие с заказчиком. Задачи: — Проводить проектную коммуникацию с представителями бизнес-заказчика для уточнения бизнес-требований — Выявлять и анализировать бизнес-требования, потребности и проблемы заказчика — Формировать спецификации требований, описание логических моделей, структур данных и проектных решений (хранилища и витрины данных) — Согласовывать проектные решения с архитекторами, разработчиками и аналитиками смежных команд — Проектировать и разрабатывать ETL/ELT процессы, слои хранилища и витрины данных — Разрабатывать и оптимизировать SQL-запросы — Проводить внутреннее тестирование и контроль качества информационных продуктов — Участвовать в приёмочных испытаниях информационных продуктов и документации с заказчиками — Обеспечивать контроль качества данных и их целостность Требования: — Высшее образование: техническое, математическое или финансовое — Опыт работы не менее 5 лет — Уверенные знания Python, GIT, Airflow (DAG с декомпозицией задач, зависимостями, сенсорами) — Глубокое знание SQL: оконные функции, процедуры, функции, вложенные запросы, опыт оптимизации запросов — Понимание индексов, партиций, ключей, нормальных форм, SCD — Понимание моделирования данных, построения хранилища, репликации и консистентности данных — Умение рефакторить код и проводить миграцию из одной системы в другую — Знание принципов CI/CD Будет плюсом: — Знание PL/SQL для Oracle, Postres, Greenplum или иной MPP СУБД — Опыт работы с API — Знание ООП, DBT, Kafka, Bash, SAS, разработка кастомных Airflow операторов